Magellanic Cloud

5 days ago

Hyderabad, India MAGELLANIC CLOUD LIMITED Full time

Job Description :Key Responsibilities :- Design, build, and deploy machine learning models to solve real-world business problems.- Perform data preprocessing, cleansing, transformation, and feature engineering on both structured and unstructured data.- Train, evaluate, and optimize ML models for performance, scalability, and accuracy.- Integrate ML models into production systems and ensure their continuous performance using MLOps practices.- Leverage cloud platforms, especially Google Cloud Platform (GCP), for scalable model training and deployment (e.g., Vertex AI, BigQuery, Dataflow).- Develop REST APIs for ML models using Docker and orchestrate deployments via Kubernetes.- Collaborate closely with data engineers, product managers, and software developers to translate business requirements into technical solutions.- Monitor and maintain models in production, ensuring stability, performance, and regular updates.- Maintain best practices in version control, documentation, and continuous integration using Git, GitHub, or GitLab.Required Qualifications & Skills :- 5+ years of hands-on experience in building, training, and deploying machine learning models in a production-oriented environment.- Proficiency in Python (preferred) or R, along with common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).- Solid knowledge of machine learning algorithms including regression, classification, clustering, and deep learning.- Experience with Natural Language Processing (NLP), Computer Vision, or other advanced AI techniques is a strong plus.- Strong expertise in SQL and NoSQL databases, with a deep understanding of data warehousing concepts.- Demonstrated ability in data blending and transformation, working with structured and unstructured data formats.- Hands-on experience with GCP tools like Vertex AI, BigQuery, and Dataflow is highly desirable.- Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines.- Working knowledge of Docker and Kubernetes for containerized deployments.- Proficiency with Git-based version control systems for collaborative development workflows.Nice to Have :- GCP certifications or equivalent cloud training.- Experience working in agile and fast-paced environments.- Prior experience deploying AI solutions in industries like finance, healthcare, retail, or supply chain. (ref:hirist.tech)

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